An Improved Time Delay Estimation Method Based on Generalized Cyclic Correntropy

Tianshuang QIU; Hao LIU; Jiacheng ZHANG; Jingchun LI; Rong LI

doi:10.11999/JEIT200142

Volume 43 Issue 2

Feb. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(2): 255-262

Tianshuang QIU, Hao LIU, Jiacheng ZHANG, Jingchun LI, Rong LI. An Improved Time Delay Estimation Method Based on Generalized Cyclic Correntropy[J]. Journal of Electronics & Information Technology, 2021, 43(2): 255-262. doi: 10.11999/JEIT200142

Citation:

Tianshuang QIU, Hao LIU, Jiacheng ZHANG, Jingchun LI, Rong LI. An Improved Time Delay Estimation Method Based on Generalized Cyclic Correntropy[J]. Journal of Electronics & Information Technology, 2021, 43(2): 255-262. doi: 10.11999/JEIT200142

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An Improved Time Delay Estimation Method Based on Generalized Cyclic Correntropy

doi: 10.11999/JEIT200142

1.
Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
2.
State Radio Monitoring Center, Beijing 100037, China

Funds: The National Natural Science Foundation of China (61671105, 61172108)

Received Date: 2020-03-03
Rev Recd Date: 2020-08-25

Available Online: 2020-11-19

Publish Date: 2021-02-23

Abstract

Abstract

In complex electromagnetic environment, due to the impact of co-channel interference and impulsive noise, the performance of existing time delay estimation algorithms degrade severely. In this paper, an improved Generalized Cyclic Correntropy time delay Estimation (HTGCCE) algorithm is proposed by using the Hyperbolic Tangent function to address this degradation problem. Firstly, the performance degradation of generalized cyclic correntropy method is thoroughly analyzed and explained in impulsive noise. Then, based on the hyperbolic tangent function, an improved generalized cyclic correntropy method is proposed to improve the delay estimation performance under impulsive noise. Finally, the simulation results show that the proposed time delay estimation algorithm has an outstanding performance in impulsive noise, even with small characteristic component and low generalized signal-to-noise ratio.
- Signal processing,
- Time delay estimation,
- Impulsive noise,
- Cyclic correntropy,
- Co-channel interference

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References(25)

References

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